{"id":29306,"date":"2022-05-10T08:00:00","date_gmt":"2022-05-10T15:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=29306"},"modified":"2022-05-09T19:11:25","modified_gmt":"2022-05-10T02:11:25","slug":"intels-habana-labs-launches-second-generation-ai-processors-for-training-and-inferencing","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2022\/05\/10\/intels-habana-labs-launches-second-generation-ai-processors-for-training-and-inferencing\/","title":{"rendered":"Intel\u2019s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing"},"content":{"rendered":"\n<p class=\"has-text-align-center\"><em>Habana Gaudi2 processor demonstrates two-times throughput over Nvidia\u2019s A100 GPU<\/em><\/p>\n\n\n\n<div class=\"wp-block-image is-style-default\"><figure class=\"alignright size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"222\" height=\"48\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/04\/Habana_logo.png\" alt=\"\" class=\"wp-image-29035\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/04\/Habana_logo.png 222w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/04\/Habana_logo-150x32.png 150w\" sizes=\"(max-width: 222px) 100vw, 222px\" \/><\/figure><\/div>\n\n\n\n<p>Intel announced that <a href=\"https:\/\/habana.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Habana Labs<\/a>, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for  training and inference: Habana\u00ae Gaudi\u00ae2 and Habana\u00ae Greco\u2122. These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments  in the data center while lowering the AI barrier to entry for companies of all sizes.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u201cThe launch of Habana\u2019s new deep learning processors is a prime example of Intel  executing on its AI strategy to give customers a wide array of solution choices \u2013 from  cloud to edge \u2013 addressing the growing number and complex nature of AI workloads,&#8221; said Sandra Rivera, Intel executive vice president and general manager of  the Datacenter and AI Group. &#8220;Gaudi2 can help Intel customers train increasingly large and complex deep learning  workloads with speed and efficiency, and we\u2019re anticipating the inference efficiencies that Greco will bring.\u201d <\/p><\/blockquote>\n\n\n\n<div class=\"wp-block-image is-style-default\"><figure class=\"alignleft size-large is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/05\/Habana_Mezz_card.png\" alt=\"\" class=\"wp-image-29309\" width=\"351\" height=\"198\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/05\/Habana_Mezz_card.png 443w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/05\/Habana_Mezz_card-150x85.png 150w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/05\/Habana_Mezz_card-300x169.png 300w\" sizes=\"(max-width: 351px) 100vw, 351px\" \/><\/figure><\/div>\n\n\n\n<p>The new Gaudi2 and Greco processors are purpose-built for AI deep learning applications, implemented in 7-nanometer technology and manufactured on Habana\u2019s  high-efficiency architecture. Habana Labs revealed Gaudi2\u2019s training  throughput performance for the ResNet-50 computer vision model and the BERT natural  language processing model delivers twice the training throughput over the NVIDIA  A100-80GB GPU.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u201cCompared with the A100 GPU, implemented in the same process node and roughly the  same die size, Gaudi2 delivers clear leadership training performance as demonstrated  with apples-to-apples comparison on key workloads,\u201d said Eitan Medina, chief operating  officer at Habana Labs. \u201cThis deep learning acceleration architecture is fundamentally more efficient and backed with a strong roadmap.\u201d<\/p><\/blockquote>\n\n\n\n<div class=\"wp-block-image is-style-default\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"700\" height=\"180\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/05\/Habana_fig1.png\" alt=\"\" class=\"wp-image-29312\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/05\/Habana_fig1.png 700w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/05\/Habana_fig1-150x39.png 150w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/05\/Habana_fig1-300x77.png 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/figure><\/div>\n\n\n\n<p><strong>What Gaudi2 Delivers<\/strong><\/p>\n\n\n\n<ul><li><span style=\"text-decoration: underline;\">Deep learning training efficiency:<\/span> The Habana Gaudi2 processor significantly increases  training performance, building on the same high-efficiency first-generation Gaudi  architecture that delivers up to 40% better price performance in the AWS cloud with  Amazon EC2 DL1 instances and on-premises with the Supermicro X12 Gaudi Training  Server. With a leap in process from 16 nm Gaudi to 7 nm, Gaudi2 provides a significant  boost to its compute, memory and networking capabilities. Gaudi2 also introduces an  integrated media processing engine for compressed media and offloading the host  subsystem. Gaudi2 triples the in-package memory capacity from 32GB to 96GB of  HBM2E at 2.45TB\/sec bandwidth, and integrates 24 x 100GbE RoCE RDMA NICs, on-chip, for scaling-up and scaling-out using standard Ethernet.<\/li><li><span style=\"text-decoration: underline;\">Customer benefits:<\/span> Gaudi2 provides customers a higher-performance deep learning  training alternative to existing GPU-based acceleration, meaning they can train more and  spend less, helping to lower total cost of ownership in the cloud and data center. Built to  address many model types and end-market applications, customers can benefit from  Gaudi2\u2019s faster time-to-train, which can result in faster time-to-insights and faster time- to-market. Gaudi2 is designed to significantly improve vision modeling of applications  used in autonomous vehicles, medical imaging and defect detection in manufacturing, as well as natural language processing applications.<\/li><li><span style=\"text-decoration: underline;\">Networking capacity, flexibility and efficiency:<\/span> Habana has made it cost-effective and easy for customers to scale out training capacity by amplifying training bandwidth on second- generation Gaudi. With the integration of industry standard RoCE on chip, customers can easily scale and configure Gaudi2 systems to suit their deep learning cluster  requirements. With system implementation on widely used industry-standard Ethernet  connectivity, Gaudi2 enables customers to choose from a wide array of Ethernet  switching and related networking equipment, enabling cost savings. Avoiding proprietary interconnect technologies in the data center (as are offered by competition) is important  for IT decision makers who want to avoid single vendor \u201clock-in.\u201d The on-chip integration of the networking interface controller (NIC) ports also lowers component costs.<\/li><li><span style=\"text-decoration: underline;\">Simplified model build and migration:<\/span> The Habana\u00ae SynapseAI\u00ae software suite is  optimized for deep learning model development and to ease migration of existing GPU- based models to Gaudi platform hardware. SynapseAI software supports training models on Gaudi2 and inferencing them on any target, including Intel\u00ae Xeon\u00ae processors,  Habana Greco or Gaudi2 itself. Developers are supported with documentation and tools,  how-to content and a community support forum on the Habana Developer Site with  reference models and model roadmap on the Habana GitHub. Getting started with  model migration is as easy as adding two lines of code; for expert users who wish to  program their own kernels, Habana offers the full tool suite.<\/li><\/ul>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u201cWe congratulate Habana on the launch of its new high-performance, 7nm Gaudi2  accelerator. We look forward to collaborating on the turnkey AI solution consisting of our DDN AI400X2 storage appliance combined with Supermicro X12 Gaudi\u00ae2 Training  Servers to help enterprises with large, complex deep learning workloads unlock  meaningful business value with simple but powerful storage,\u201d said Paul Bloch, president and co-founder of DataDirect Networks.<\/p><\/blockquote>\n\n\n\n<p><strong>About Availability of Gaudi2 Training Solutions<\/strong><\/p>\n\n\n\n<p>Gaudi2 processors are now available to Habana customers. Habana has partnered with Supermicro to bring the Supermicro X12 Gaudi2 Training Server to market this year.  Habana also teamed up with DDN\u00ae to deliver turnkey rack-level solutions featuring the  Supermicro X12 server with augmented AI storage capacity with the pairing of the DDN  AI400X2 storage solution.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u201cWe\u2019re excited to bring our next-generation AI deep learning server to market featuring  the high-performance 7 nm Gaudi2 processor that will enable our customers to achieve  faster time-to-train advantages while preserving the efficiency and expanding on the  scalability of first-generation Gaudi,\u201d said Charles Liang, CEO, Supermicro.<\/p><\/blockquote>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a rel=\"noreferrer noopener\" href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\">newsletter<\/a>.<\/em><\/p>\n\n\n\n<p><em>Join us on Twitter:&nbsp;@InsideBigData1 \u2013 <a href=\"https:\/\/twitter.com\/InsideBigData1\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Intel announced that Habana Labs, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for  training and inference: Habana\u00ae Gaudi\u00ae2 and Habana\u00ae Greco\u2122. These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments  in the data center while lowering the AI barrier to entry for companies of all sizes.<\/p>\n","protected":false},"author":10513,"featured_media":29035,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,115,62,182,87,180,183,210,67,56,1],"tags":[437,264,736,1141,1039,284,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Intel\u2019s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2022\/05\/10\/intels-habana-labs-launches-second-generation-ai-processors-for-training-and-inferencing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Intel\u2019s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Intel announced that Habana Labs, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for training and inference: Habana\u00ae Gaudi\u00ae2 and Habana\u00ae Greco\u2122. 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